- published: 22 Jan 2016
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The structured program theorem, also called Böhm-Jacopini theorem, is a result in programming language theory. It states that a class of control flow graphs (historically called charts in this context) can compute any computable function if it combines subprograms in only three specific ways (control structures). These are
The structured chart subject to these constraints may however use additional variables in the form of bits (stored in an extra integer variable in the original proof) in order to keep track of information that the original program represents by the program location. The construction was based on Böhm's programming language P′′.
The theorem is typically credited to a 1966 paper by Corrado Böhm and Giuseppe Jacopini.David Harel wrote in 1980 that the Böhm–Jacopini paper enjoyed "universal popularity", particularly with proponents of structured programming. Harel also noted that "due to its rather technical style [the 1966 Böhm–Jacopini paper] is apparently more often cited than read in detail" and, after reviewing a large number of papers published up to 1980, Harel argued that the contents of the Böhm–Jacopini proof was usually misrepresented as a folk theorem that essentially contains a simpler result, a result which itself can be traced to the inception on modern computing theory in the papers of von Neumann and Kleene.
Procedural programming is a programming paradigm, derived from structured programming, based upon the concept of the procedure call. Procedures, also known as routines, subroutines, or functions (not to be confused with mathematical functions, but similar to those used in functional programming), simply contain a series of computational steps to be carried out. Any given procedure might be called at any point during a program's execution, including by other procedures or itself. Procedural programming languages include C, Go, Fortran, Pascal, and BASIC.
Computer processors provide hardware support for procedural programming through a stack register and instructions for calling procedures and returning from them. Hardware support for other types of programming is possible, but no attempt was commercially successful (for example Lisp machines or Java processors).
Modularity is generally desirable, especially in large, complicated programs. Inputs are usually specified syntactically in the form of arguments and the outputs delivered as return values.
Structured program theorem The structured program theorem, also called Böhm-Jacopini theorem, is a result in programming language theory.It states that a class of control flow graphs (historically called charts in this context) can compute any computable function if it combines subprograms in only three specific ways (control structures). -Video is targeted to blind users Attribution: Article text available under CC-BY-SA image source in video https://www.youtube.com/watch?v=ZmW18W--r_s
An overview of Bohm & Jacopini's theory on the construction of solutions.
Learn the fundamental theory behind structured software design; The Structured Theorem by Bohm & Jacopini. This overview includes examples of each structure in Perl.
What is STRUCTURED PROGRAMMING? What does STRUCTURED PROGRAMMING mean? STRUCTURED PROGRAMMING meaning - STRUCTURED PROGRAMMING definition - STRUCTURED PROGRAMMING explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. Structured programming is a programming paradigm aimed at improving the clarity, quality, and development time of a computer program by making extensive use of subroutines, block structures, for and while loops—in contrast to using simple tests and jumps such as the goto statement which could lead to "spaghetti code" which is difficult both to follow and to maintain. It emerged in the late 1950s with the appearance of the ALGOL 58 and ALGOL 60 programming languages, with the latter including support for block stru...
Dr. Mark discusses Bohm & Jacopini's Structured Theorem. Join Beginning Perl http://www.udemy.com/beginning-perl/ to learn more. This podcast is a companion resource to Learning Perl (6th edition) which is available at http://shop.oreilly.com/product/0636920018452.do. Students ought to be studying chapter 2 at this time. "Envision a class existing beyond the bounds of time. Students ready to learn as soon as they enter class because they choose when to participate. Advanced learners working ahead of the class while others spend as much time as they need to master one topic before moving on to the next. No more excuses required because learning is self-directed. Course content at your fingertips." - from A teacher's guide to eLearning by Mark Winegar. Here it is! Study when and where...
Notable features of the ABCP include: 1. Cash flow mismatch between receivables (without maturities, non interest bearing) and commercial paper (CP) notes issued to investors (floating-rate, with maturities) makes the credit and liquidity support critical. 2. It is a "continuous conveyance" vehicle: the conduit (special purpose entity) is purchasing receivables and issuing CP to investors on a rolling basis.
Lecture Series on Strength and Vibration of Marine Structures by Prof.A.H. Sheikh and Prof.S.K.Satsangi, Department of Ocean Engineering & Naval Architecture, IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in
Recursion is one of the most fundamental tools in the functional programmer’s kit. As with most fundamental tools, it’s quite powerful, and likely, too powerful for most applications. Abstracting away the explicit recursion from algorithms can make them easier to reason about, understand and maintain. Separating description of the program from interpretation, is a pattern we often see in functional programming. This talk is about applying that idea to recursive algorithms. This talk will attempt to be as self-contained as possible and will hopefully make {cata|ana|para|apo}morphisms less intimidating by showing the internals of how they could be implemented with as few parts of Scala as possible. * Material * Slides: http://slides.com/ratansebastian-1/introduction-to-recursion-schemes *...
Don't hesitate to comment below if you have any questions or additional phrases The Logical Structure of Algorithms ,Algorithms Steps necessary to complete a task or solve a problem. Example: Recipe for baking a cake Will contain a list of ingredients Step-by-step instructions on what to do with those ingredients A recipe provides an algorithm for baking a cake. ,Other algorithms When you learned the process for doing long division you learned an algorithm. The Holtrop and Mennen Algorithm, used by naval architects to design the optimum propellers for a ship, contains thousands of steps. ,Algorithms are sequential Usually we can think of the instructions in an algorithm as being executed one at a time. They form what is sometimes called a sequential logic. This is only part of the st...
Advanced Strings School 2015 TALKS URL: https://www.icts.res.in/program/all/t... PROGRAM URL: http://www.icts.res.in/program/SS2015 ORGANIZERS: Justin David, Chethan Krishnan and Gautam Mandal DATES: Thursday 11 Jun, 2015 - Thursday 18 Jun, 2015 VENUE: Physics Department, Indian Institute of Science, Bangalore DESCRIPTION: Strings School 2015 is intended to introduce a wide range of basic background material for the latest developments in String theory, Quantum Field Theory and Gravity to senior graduate students and young postdocs. Another purpose of the School is to prepare young researchers for the Strings 2015 conference which will take place in the same venue immediately following the School, and bring about interactions and exchange of ideas among young physicists at a global le...
A quick overview of sequence, selection, and iteration.
Understanding Structured Programming
Graph-structured data appears frequently in domains including chemistry, natural language semantics, social networks, and knowledge bases. In this work, we study feature learning techniques for graph-structured inputs. Our starting point is previous work on Graph Neural Networks (Scarselli et al., 2009), which we modify to use gated recurrent units and modern optimization techniques and then extend to output sequences. The result is a flexible and broadly useful class of neural network models that has favorable inductive biases relative to purely sequence-based models (e.g., LSTMs) when the problem is graph-structured. We demonstrate the capabilities on some simple AI (bAbI) and graph algorithm learning tasks. We then show it achieves state-of-the-art performance on a problem from program ...
TAMIL C TUTORIAL WHAT IS STRUCTURED PROGRAMMING LANG TAMIL C TUTORIAL WHAT IS STRUCTURED PROGRAMMING LANG
Corrado Böhm ☆Video is targeted to blind users Attribution: Article text available under CC-BY-SA image source in video
The Fibonacci sequence in Tool's Lateralus. *3-31-10* Youtube just informed me that EMI owns this music and it's copyrighted, so if they decide to remove the audio, there's nothing I can do about it. It was just for a school project anyway. No big deal. *10-3-11* You can DL this vid here: http://www.philipriehl.com/videos/fib.flv
Procedural programming Procedural programming is a programming paradigm, derived from structured programming, based upon the concept of the procedure call.Procedures, also known as routines, subroutines, or functions (not to be confused with mathematical functions, but similar to those used in functional programming), simply contain a series of computational steps to be carried out. -Video is targeted to blind users Attribution: Article text available under CC-BY-SA image source in video https://www.youtube.com/watch?v=jSks0lUmXK0
Structured program theorem The structured program theorem, also called Böhm-Jacopini theorem, is a result in programming language theory.It states that a class of control flow graphs (historically called charts in this context) can compute any computable function if it combines subprograms in only three specific ways (control structures). -Video is targeted to blind users Attribution: Article text available under CC-BY-SA image source in video https://www.youtube.com/watch?v=ZmW18W--r_s
An overview of Bohm & Jacopini's theory on the construction of solutions.
Learn the fundamental theory behind structured software design; The Structured Theorem by Bohm & Jacopini. This overview includes examples of each structure in Perl.
What is STRUCTURED PROGRAMMING? What does STRUCTURED PROGRAMMING mean? STRUCTURED PROGRAMMING meaning - STRUCTURED PROGRAMMING definition - STRUCTURED PROGRAMMING explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. Structured programming is a programming paradigm aimed at improving the clarity, quality, and development time of a computer program by making extensive use of subroutines, block structures, for and while loops—in contrast to using simple tests and jumps such as the goto statement which could lead to "spaghetti code" which is difficult both to follow and to maintain. It emerged in the late 1950s with the appearance of the ALGOL 58 and ALGOL 60 programming languages, with the latter including support for block stru...
Dr. Mark discusses Bohm & Jacopini's Structured Theorem. Join Beginning Perl http://www.udemy.com/beginning-perl/ to learn more. This podcast is a companion resource to Learning Perl (6th edition) which is available at http://shop.oreilly.com/product/0636920018452.do. Students ought to be studying chapter 2 at this time. "Envision a class existing beyond the bounds of time. Students ready to learn as soon as they enter class because they choose when to participate. Advanced learners working ahead of the class while others spend as much time as they need to master one topic before moving on to the next. No more excuses required because learning is self-directed. Course content at your fingertips." - from A teacher's guide to eLearning by Mark Winegar. Here it is! Study when and where...
Notable features of the ABCP include: 1. Cash flow mismatch between receivables (without maturities, non interest bearing) and commercial paper (CP) notes issued to investors (floating-rate, with maturities) makes the credit and liquidity support critical. 2. It is a "continuous conveyance" vehicle: the conduit (special purpose entity) is purchasing receivables and issuing CP to investors on a rolling basis.
Lecture Series on Strength and Vibration of Marine Structures by Prof.A.H. Sheikh and Prof.S.K.Satsangi, Department of Ocean Engineering & Naval Architecture, IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in
Recursion is one of the most fundamental tools in the functional programmer’s kit. As with most fundamental tools, it’s quite powerful, and likely, too powerful for most applications. Abstracting away the explicit recursion from algorithms can make them easier to reason about, understand and maintain. Separating description of the program from interpretation, is a pattern we often see in functional programming. This talk is about applying that idea to recursive algorithms. This talk will attempt to be as self-contained as possible and will hopefully make {cata|ana|para|apo}morphisms less intimidating by showing the internals of how they could be implemented with as few parts of Scala as possible. * Material * Slides: http://slides.com/ratansebastian-1/introduction-to-recursion-schemes *...
Don't hesitate to comment below if you have any questions or additional phrases The Logical Structure of Algorithms ,Algorithms Steps necessary to complete a task or solve a problem. Example: Recipe for baking a cake Will contain a list of ingredients Step-by-step instructions on what to do with those ingredients A recipe provides an algorithm for baking a cake. ,Other algorithms When you learned the process for doing long division you learned an algorithm. The Holtrop and Mennen Algorithm, used by naval architects to design the optimum propellers for a ship, contains thousands of steps. ,Algorithms are sequential Usually we can think of the instructions in an algorithm as being executed one at a time. They form what is sometimes called a sequential logic. This is only part of the st...
Advanced Strings School 2015 TALKS URL: https://www.icts.res.in/program/all/t... PROGRAM URL: http://www.icts.res.in/program/SS2015 ORGANIZERS: Justin David, Chethan Krishnan and Gautam Mandal DATES: Thursday 11 Jun, 2015 - Thursday 18 Jun, 2015 VENUE: Physics Department, Indian Institute of Science, Bangalore DESCRIPTION: Strings School 2015 is intended to introduce a wide range of basic background material for the latest developments in String theory, Quantum Field Theory and Gravity to senior graduate students and young postdocs. Another purpose of the School is to prepare young researchers for the Strings 2015 conference which will take place in the same venue immediately following the School, and bring about interactions and exchange of ideas among young physicists at a global le...
A quick overview of sequence, selection, and iteration.
Understanding Structured Programming
Graph-structured data appears frequently in domains including chemistry, natural language semantics, social networks, and knowledge bases. In this work, we study feature learning techniques for graph-structured inputs. Our starting point is previous work on Graph Neural Networks (Scarselli et al., 2009), which we modify to use gated recurrent units and modern optimization techniques and then extend to output sequences. The result is a flexible and broadly useful class of neural network models that has favorable inductive biases relative to purely sequence-based models (e.g., LSTMs) when the problem is graph-structured. We demonstrate the capabilities on some simple AI (bAbI) and graph algorithm learning tasks. We then show it achieves state-of-the-art performance on a problem from program ...
TAMIL C TUTORIAL WHAT IS STRUCTURED PROGRAMMING LANG TAMIL C TUTORIAL WHAT IS STRUCTURED PROGRAMMING LANG
Corrado Böhm ☆Video is targeted to blind users Attribution: Article text available under CC-BY-SA image source in video
The Fibonacci sequence in Tool's Lateralus. *3-31-10* Youtube just informed me that EMI owns this music and it's copyrighted, so if they decide to remove the audio, there's nothing I can do about it. It was just for a school project anyway. No big deal. *10-3-11* You can DL this vid here: http://www.philipriehl.com/videos/fib.flv
Procedural programming Procedural programming is a programming paradigm, derived from structured programming, based upon the concept of the procedure call.Procedures, also known as routines, subroutines, or functions (not to be confused with mathematical functions, but similar to those used in functional programming), simply contain a series of computational steps to be carried out. -Video is targeted to blind users Attribution: Article text available under CC-BY-SA image source in video https://www.youtube.com/watch?v=jSks0lUmXK0
Graph-structured data appears frequently in domains including chemistry, natural language semantics, social networks, and knowledge bases. In this work, we study feature learning techniques for graph-structured inputs. Our starting point is previous work on Graph Neural Networks (Scarselli et al., 2009), which we modify to use gated recurrent units and modern optimization techniques and then extend to output sequences. The result is a flexible and broadly useful class of neural network models that has favorable inductive biases relative to purely sequence-based models (e.g., LSTMs) when the problem is graph-structured. We demonstrate the capabilities on some simple AI (bAbI) and graph algorithm learning tasks. We then show it achieves state-of-the-art performance on a problem from program ...
Advanced Strings School 2015 TALKS URL: https://www.icts.res.in/program/all/t... PROGRAM URL: http://www.icts.res.in/program/SS2015 ORGANIZERS: Justin David, Chethan Krishnan and Gautam Mandal DATES: Thursday 11 Jun, 2015 - Thursday 18 Jun, 2015 VENUE: Physics Department, Indian Institute of Science, Bangalore DESCRIPTION: Strings School 2015 is intended to introduce a wide range of basic background material for the latest developments in String theory, Quantum Field Theory and Gravity to senior graduate students and young postdocs. Another purpose of the School is to prepare young researchers for the Strings 2015 conference which will take place in the same venue immediately following the School, and bring about interactions and exchange of ideas among young physicists at a global le...
Lecture Series on Strength and Vibration of Marine Structures by Prof.A.H. Sheikh and Prof.S.K.Satsangi, Department of Ocean Engineering & Naval Architecture, IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in
Goto is a statement found in many computer programming languages. It performs a one-way transfer of control to another line of code; in contrast a function call normally returns control. The jumped-to locations are usually identified using labels, though some languages use line numbers. At the machine code level, a goto is a form of branch or jump statement. Many languages support the goto statement, and many do not. The structured program theorem proved that the goto statement is not necessary to write programs; some combination of the three programming constructs of sequence, selection/choice, and repetition/iteration are sufficient for any computation that can be performed by a Turing machine, with the caveat that code duplication and additional variables may need to be introduced. At m...
Recursion is one of the most fundamental tools in the functional programmer’s kit. As with most fundamental tools, it’s quite powerful, and likely, too powerful for most applications. Abstracting away the explicit recursion from algorithms can make them easier to reason about, understand and maintain. Separating description of the program from interpretation, is a pattern we often see in functional programming. This talk is about applying that idea to recursive algorithms. This talk will attempt to be as self-contained as possible and will hopefully make {cata|ana|para|apo}morphisms less intimidating by showing the internals of how they could be implemented with as few parts of Scala as possible. * Material * Slides: http://slides.com/ratansebastian-1/introduction-to-recursion-schemes *...
ERPEM 2014 - 10º Encuentro Regional de Probabilidad y Estadística Matemática - High dimensional phenomena in Probability, Statistics and Signal Processing Emile Richard - Some statistical results on structured array factorization problems - part 01 Página: http://www.impa.br/opencms/en/eventos/store_old/evento_1412 Download dos vídeos: http://video.impa.br/index.php?page=erpem-2014 The Tenth Regional Meeting on Probability and Mathematical Statistics will be held at IMPA in Rio de Janeiro, Brazil, from November 10th to 14th, 2014. As with previous ERPEMs, the goal of this meeting is to promote interactions amongst among advanced students, young researchers and leading experts of the region, to encourage new collaborations and allow for active exchange of ideas through informal discussi...
Lecture Series on Structural Analysis II by Prof. P. Banerjee, Department of Civil Engineering, IIT Bombay For more Courses visit http://nptel.iitm.ac.in
Google I/O 2009 - Transactions Across Datacenters (and Other Weekend Projects) Ryan Barrett -- Contents -- 0:55 - Background quotes 2:30 - Introduction: multihoming for read/write structured storage 5:12 - Three types of consistency: weak, eventual, strong 10:00 - Transactions: definition, background 12:22 - Why multihome? Why try do anything across multiple datacenters? 15:30 - Why *not* multihome? 17:45 - Three kinds of multihoming: none, some, full 27:35 - Multihoming techniques and how to evaluate them 28:30 - Technique #1: Backups 31:39 - Technique #2: Master/slave replication 35:42 - Technique #3: Multi-master replication 39:30 - Technique #4: Two phase commit 43:53 - Technique #5: Paxos 49:35 - Conclusion: no silver bullet. Embrace the tradeoffs! ...
About the Topic Human cognition is incredibly flexible, partly because common-sense knowledge is uncertain but highly structured. Probabilistic programming languages (PPLs) provide a formal tool encompassing probabilistic uncertainty and compositional structure. Dr. Goodman will show that PPLs allow us to model human reasoning and language understanding. He will also describe several experimental studies of social cognition, building up to the Rational Speech Act framework for language understanding. This framework captures vague adjectives (``Bob is tall’’), generic language (``boys are tall’’), hyperbole (``Bob is a hundred feet tall’’), and metaphor (``Bob is a giraffe’’). Dr. Goodman will close with some implications this work has for the future of cognitive computing. About the...
An important problem in achieving general artificial intelligence is the data-efficient learning of representations suitable for causal reasoning, planning, and decision making. Learning such representations from unsupervised data is challenging and requires flexible models to discover the underlying manifold of high-dimensional data. Generative adversarial networks (GAN) are such flexible families of distributions that have shown promise in unsupervised learning and supervised regression tasks. We show that the learning objective of GANs are variational bounds on a divergence between two distributions, allowing us to extend the GAN objective to general f-divergences, including the Kullback-Leibler divergence. We call this more general principle variational divergence minimization. The gen...
When Don Knuth, the 1974 Turing Award recipient, did this interview with Ed Feigenbaum, himself a Turing Awardee, he likely didn’t expect that it would go on for over 7 hours. The interview was split over two days and this give a convenient break point for dividing it into two files. While the topics range widely over Knuth’s whole life and work, the first part is mainly concerned with his early life and heritage, his first exposure to computers and what led him to focus his career in that area. The second part of the interview begins with some of the people who influenced him, including John Backus who had died a few days before this interview. It then goes on to Don’s work in things other than programming languages; items like his work in digital typesetting, mathematics and analysis of ...
A panel of Mathematica experts answer user-submitted questions on a range of visualization topics from basic plots to advanced animations in this video from Mathematica Experts Live: Visualization Q&A; 2012. For more information about the event, please visit: http://www.wolfram.com/training/special-event/mathematica-experts-live-visualization-2012 For more information about Mathematica, please visit: http://www.wolfram.com/mathematica
1974 Turing Award recipient Donald Knuth and author of “The Art of Computer Programming” discusses the nature of computer science as a discipline and its relationship to other scientific fields.
Abstract The BBC micro:bit is a small wearable and programmable mbed-based device that visibly features a 5x5 LED display, accelerometer, compass, buttons, I/O pins, Micro USB plug, Bluetooth Low Energy antenna, ARM Cortex-M0 processor, and battery plug. Just like Arduino, the micro:bit can be connected to and interact with sensors, displays, and other devices. The first wave of micro:bits will land in UK schools this autumn, with every Year 7 student in the UK receiving a micro:bit, for free. As a partner on the micro:bit project, Microsoft’s goals are to provide: (1) a browser-based introductory programming experience for students who have never programmed before; (2) an architecture that allows students to dig deeper to uncover the many capabilities of the micro:bit; (3) materials and...
The Pattern Recognition Class 2012 by Prof. Fred Hamprecht. It took place at the HCI / University of Heidelberg during the summer term of 2012. Website: http://hci.iwr.uni-heidelberg.de/MIP/Teaching/pr/ Playlist with all videos: http://goo.gl/gmOI6 Contents of this recording: linear program Slater's theorem complementary slackness Karush-Kuhn-Tucker conditions (KKT) Syllabus: 1. Introduction 1.1 Applications of Pattern Recognition 1.2 k-Nearest Neighbors Classification 1.3 Probability Theory 1.4 Statistical Decision Theory 2. Correlation measures, Gaussian Models 2.1 Pearson Correlation 2.2 Alternative Correlation Measures 2.3 Gaussian Graphical Models 2.4 Discriminant Analysis 3. Dimensionality Reduction 3.1 Regularized LDA/QDA 3.2 Principal Component Analysis (PCA) 3.3 Bilinear Deco...
Authors: Zinkov, Rob Track: Machine Learning Infer.py is a wrapper around Microsoft Research's Infer.NET inference engine. Infer.py allows you to represent complex graphical models in terms of short pieces of code. In this talk, I will show how many popular machine learning algorithms can be modeled as short probabilistic programs and then simply trained. I will then show how to introspect on the models which were learned and debug these programs when they don't produce desired results.
Advanced Strings School 2015 TALKS URL: https://www.icts.res.in/program/all/t... PROGRAM URL: http://www.icts.res.in/program/SS2015 ORGANIZERS: Justin David, Chethan Krishnan and Gautam Mandal DATES: Thursday 11 Jun, 2015 - Thursday 18 Jun, 2015 VENUE: Physics Department, Indian Institute of Science, Bangalore DESCRIPTION: Strings School 2015 is intended to introduce a wide range of basic background material for the latest developments in String theory, Quantum Field Theory and Gravity to senior graduate students and young postdocs. Another purpose of the School is to prepare young researchers for the Strings 2015 conference which will take place in the same venue immediately following the School, and bring about interactions and exchange of ideas among young physicists at a global le...
Addressing inherent uncertainty and exploiting structure are fundamental to understanding, designing and making predictions in large-scale information, biological and socio-technical systems. Statistical relational learning (SRL) builds on principles from probability theory and statistics to address uncertainty while incorporating tools from logic to represent structure. SRL methods are especially well-suited to domains where the input is best described as a large multi-relational network, such as online social media and communication networks, and we need to make structured predictions. The first part of the tutorial will provide an introduction to key SRL concepts, including relational feature construction and representation, inference and learning methods for "lifted graphical models....
Nobel Prize winner Robert J. Shiller visited Google's office in Cambridge, MA to discuss the book he co-authored with George Akerlof, "Phishing for Phools: The Economics of Manipulation and Deception". "Phishing for Phools" explores the central role of manipulation and deception in detail in many areas of our lives, explaining a paradox: why, at a time when we are better off than ever before, too many of people are leading lives of quiet desperation. At the same time, the book tells stories of individuals who have stood against economic trickery—and how it can be reduced through greater knowledge, reform, and regulation. Robert J. Shiller is Sterling Professor of Economics at Yale University, the winner of the 2013 Nobel Prize, and the author of the New York Times bestseller "Irrational ...